The AI in Business Podcast

A surge in AI adoption is forcing enterprises to expose sensitive data to new systems and access paths, creating security risks that traditional perimeter models can't contain.
 
In this episode, Todd Vancil, Vice President of Veeam's Securiti AI Sales Engineering Team, examines how securing the data itself — through classification, labeling, and governed access — becomes the prerequisite for safely deploying AI at scale, in conversation with host Daniel Faggella, Emerj CEO and Head of Research.
 
This episode is sponsored by Securiti AI . Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Enterprises rushing agentic AI into production are running it through approval gates, batch windows, and audit systems built for human speed — and the gap is where most operational risk lives. In this episode, Chris Caldwell, President and CEO at Concentrix Corporation, examines how machine-scale transactions break processes designed for human pace and why bounded digital delegates outperform unrestricted digital twins in the enterprise. The discussion covers compliance bots that check other bots, the cost reality of poorly tuned agentic agents, and what leaders need to stop doing if they want a defensible AI roadmap. Learn how to evaluate AI vendors by assessing leadership expertise, and why funding benchmarks can signal product maturity and stability. Download our free PDF report, "5 Ways to Select the Right AI Vendor," at emerj.com/aiv2

Legacy enterprises are facing a decisive shift from stalled pilots and fragmented data toward agentic systems that reshape customer experience, operations, and net‑new revenue.
 
Matt Renner, President and Chief Revenue Officer at Google Cloud, examines how leaders can move beyond early AI failures to build modern data foundations, orchestrate heterogeneous agents, and accelerate transformation in conversation with Daniel Faggella, Emerj CEO and Head of Research.
 
The discussion highlights capability‑driven ROI, structured AI governance, data modernization, agentic orchestration, and the emerging security imperatives shaping enterprise adoption.
 
To listen to the conversations other infrastructure and AI leaders in the Fortune 500 are tuned into, subscribe to the AI infrastructure podcast at emerj.com/inf1

The rapid expansion of AI‑driven knowledge work is exposing a growing tension: teams are moving faster across more surface areas, but their context is fragmented across tools, personal systems, and ad‑hoc workflows.
 
In this episode, Tsavo Knott, CEO and co‑founder at Pieces, examines how the shift toward AI‑native individual contributors requires a unified substrate for capturing and retrieving operational context, and how this enables more effective coordination between humans, agents, and cross‑functional teams with host Daniel Faggella, Emerj CEO and Head of Research.
 
He highlights the practical implications for leaders, from standardizing how context is recorded to enabling context‑router roles that keep decisions and execution aligned at the speed modern AI workflows demand.
 
This episode is sponsored by Pieces. Learn more about how recipes drive pipeline for other AI brands - download our media kit at emerj.com/AD1

Visual AI gets stuck not because the technology fails, but because enterprises cannot move it from controlled environments into the variability of daily operations. In this episode, Brian Ton, Senior Laboratory Manager at Florida Crystals Corporation, examines why building operational trust in visual AI requires more than a successful pilot — and what actually determines whether a deployment becomes standard practice or stalls. The conversation covers validation and verification frameworks, the role of the feedback loop in sustaining trust, and why starting with small, demonstrable wins is more effective than reaching for enterprise-wide solutions from the outset.


This episode is sponsored by Roboflow. Do you sell AI products or services? Emerj gives you access through trusted content and real conversations. Learn how leading AI brands like NVIDIA and Google Cloud work with Emerj to reach Fortune 500 AI buyers — download our media kit at: emerj.com/AD1